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All Journal Jurnal Buana Informatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) ELINVO (Electronics, Informatics, and Vocational Education) Journal of Information System Sinkron : Jurnal dan Penelitian Teknik Informatika ILKOM Jurnal Ilmiah Jurnal Infomedia Progresif: Jurnal Ilmiah Komputer Buletin Ilmiah Sarjana Teknik Elektro Jambura Journal of Electrical and Electronics Engineering JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Infotek : Jurnal Informatika dan Teknologi Information System Journal (INFOS) Jurnal Pengabdian Masyarakat Indonesia Prima Abdika: Jurnal Pengabdian Masyarakat JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma SmartComp Dedikasi: Jurnal Pengabdian Pendidikan dan Teknologi Masyarakat Dedikasi: Jurnal Pengabdian Pendidikan dan Teknologi Masyarakat Tanggap Masyarakat untuk Aksi dan Sinergi
Jeki Kuswanto
Universitas Amikom Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : Jurnal Algoritma

 1 
Optimalisasi Engine Optimalization On-Page untuk Meningkatkan Kinerja Situs Berita Digital Menggunakan Analisis CTR dan UX Martisa Fiorentina, Rinda; Miftahul Ashari, Wahid; Kuswanto, Jeki
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2377

Abstract

This study analyzes the application of Search Engine Optimization (SEO) strategies on the Radar Jogja website to increase its visibility on search engines. With internet penetration in Indonesia reaching 78.19% in 2023, digital platforms have become an important necessity for media companies. Radar Jogja faces the challenge of competing for top positions on Google's search engine results pages (SERPs), where most users only access the first two pages. This study uses a descriptive-analytical method to evaluate key SEO elements such as titles, URLs, internal link structure, and page performance. Test results show that CTR increased from 2% to 4.75% and average position improved from 12th to 6th. In addition, dwell time increased to 2.25 minutes and bounce rate decreased, indicating a significant improvement in user experience. The results of this study contribute to content-based SEO strategies for local media to increase digital competitiveness and gain better visibility on search engines.
Kalibrasi Regresi Linier untuk Peningkatan Akurasi Load Cell pada Kursi Roda Cerdas Hakim, Muhamad Nauval; Miftahul Ashari, Wahid; Kuswanto, Jeki
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.3023

Abstract

Smart wheelchairs are an innovation designed to facilitate user mobility while monitoring their condition in real time. One of the main features developed is an integrated weight reading system. However, the accuracy of the sensor is still affected by sitting posture, body position, and surrounding environmental conditions. This study aims to improve the accuracy of the weighing system on smart wheelchairs by applying linear regression analysis as a sensor calibration method. Data collection was conducted under four conditions of use, namely sitting upright, sitting tilted, walking while sitting upright, and walking while sitting tilted, which represent variations in user load distribution. The calibration model was constructed using the average sensor reading data and evaluated using the R², MAE, and MAPE parameters. The results showed a significant improvement in accuracy with an R² value of 1.0000, MAE of 0.0687 kg, and MAPE of 0.111%, as well as a decrease in the average error from ±1.2 kg to ±0.07 kg after the calibration process. The linear regression method proved to be effective in improving the accuracy of sensor readings with light computational calculations. This study also demonstrates the potential of linear regression as an efficient lightweight calibration method for IoT-based medical systems, particularly on devices such as ESP32 or Arduino that display real-time, high-precision body weight measurements.
Co-Authors Abdulloh, Ferian Fauzi Aditia, Amar Ali Mustopa Alva Hendi Muhammad Arvin Claudy Frobenius Ashari, Wahid Miftahul Baihaqi, Muhammad Aziz Banu Santoso Bernadhed, Bernadhed Dimas Pratama, Rifqi Dwi Nurani, Dwi Dwi Putra, Andriyan Eko Pramono Fania Ellysabeth Fauzi, Moch Farid Febrian Putra Pratama Firman Asharudin Frobenius, Arvin Claudy Hakim, Muhamad Nauval Hamid, Nadila Ibnu Hadi Purwanto Imananda, Eldiva Tegar Kaleb, Setiawirawan Valerian Khamzah , Khaerul Koprawi, Muhammad Kurniawan , Hendra Kusrini, Kusrini Mahananing Puri, Fiyas Martisa Fiorentina, Rinda Melwin Syafrizal Moch Farid Fauzi Muhammad Abdul Ghofur Muhammad Irfan Annas Muhammad Koprawi Muktafin, Elik Hari Nenden Ranuma Ratri Nugraha, Anggit Ferdita Nur Asyifa Nur'aini Nurcholis, Muhammad Tofa Praditya, A.G. Arvin Pratama, Rifqi Dimas Putra, Andriyan Dwi Putra, Wahyu Sukestyastama Rahman, M. Ardafi Sulchia Ria Andriani Riasasi, Widiyana Rifda Faticha Alfa Aziza Rina Pramitasari Rivan Ardiansyah Setiani, Rina Setyaji, Ghalih Anung Setyanto, Nurcahyo Fajar Sismoro, Heri TONNY HIDAYAT Tri Atmaja Ramadhani, Surya Wasiso, Ichsan Wicaksono, Wahyu Enggar Widatama, Krisna Wisnu Yudo Untoro wisnu yudo untoro, wisnu Wiwi Widayani, Wiwi Yossy Ariyanto Yusuf Amri Amrulloh Zahrowani, Rizal